We propose a method for computing binary orthogonal non-negative matrix factorization (BONMF) for clustering and classification. The method is tested on several representative real-world data sets. The numerical results confirm that the method has improved accuracy compared to the related techniques. The proposed method is fast for training and classification and space efficient.

翻译：我们建议了一种方法,用于为集群和分类而计算二进制正向非负向矩阵系数化(BONMF),该方法在若干具有代表性的现实世界数据集中进行测试,数字结果证实该方法与相关技术相比提高了准确性,拟议方法对培训和分类以及空间效率而言是快速的。